1 to 25 of 53 Machine Learning Jobs in the East Midlands

Product Analyst , where you'll help shape the next generation of AI-powered customer journeys while working towards a Level 6 Machine Learning apprenticeship qualification . About the Role As an AI Product Analyst, you'll work at the intersection of Artificial Intelligence, Product Management, Data Analytics … help drive the continuous improvement of AI-powered customer experiences. This is an ideal opportunity for graduates who are excited by Generative AI, Machine Learning, Search Technologies, Data Analytics, and Digital Product Development , and want hands-on experience in one of the fastest-growing areas of technology. What ...

programme and get a job or get your course fees back. Our programme includes: • Official AWS Certified Cloud Practitioner certification • Training in Python, Machine Learning, and AI systems • Hands-on projects using real-world AI tools and technologies • Professional CV and LinkedIn support • Interview preparation • Dedicated recruitment support … cost of your training over 12 months so you can get qualified without financial pressure. Salary expectations: • AI Engineer: £45,000 – £60,000 • Machine Learning Engineer: £60,000 – £75,000 • Progression into senior AI roles with higher earning potential We support you into employment ITOL Recruit has over ...

programme and get a job or get your course fees back. Our programme includes: • Official AWS Certified Cloud Practitioner certification • Training in Python, Machine Learning, and AI systems • Hands-on projects using real-world AI tools and technologies • Professional CV and LinkedIn support • Interview preparation • Dedicated recruitment support … cost of your training over 12 months so you can get qualified without financial pressure. Salary expectations: • AI Engineer: £45,000 – £60,000 • Machine Learning Engineer: £60,000 – £75,000 • Progression into senior AI roles with higher earning potential We support you into employment ITOL Recruit has over ...

programme and get a job or get your course fees back. Our programme includes: • Official AWS Certified Cloud Practitioner certification • Training in Python, Machine Learning, and AI systems • Hands-on projects using real-world AI tools and technologies • Professional CV and LinkedIn support • Interview preparation • Dedicated recruitment support … cost of your training over 12 months so you can get qualified without financial pressure. Salary expectations: • AI Engineer: £45,000 – £60,000 • Machine Learning Engineer: £60,000 – £75,000 • Progression into senior AI roles with higher earning potential We support you into employment ITOL Recruit has over ...

Project Work with Hugging Face to build a sentiment analysis classifier using real-world AI techniques. Step 8 – AI Prompt Engineering Master prompt engineering, learning how to craft effective prompts for controlling AI outputs. Step 9 – Retrieval-Augmented Generation (RAG) Learn how to integrate external knowledge into AI systems … Combine prompt engineering and RAG to build an AI-powered customer service chatbot, delivering intelligent responses using vector databases and knowledge bases. Step 11 – Machine Learning Fundamentals Understand machine learning principles and algorithms, and how to train and test models using scikit-learn. Step 12 – Machine ...

Project Work with Hugging Face to build a sentiment analysis classifier using real-world AI techniques. Step 8 – AI Prompt Engineering Master prompt engineering, learning how to craft effective prompts for controlling AI outputs. Step 9 – Retrieval-Augmented Generation (RAG) Learn how to integrate external knowledge into AI systems … Combine prompt engineering and RAG to build an AI-powered customer service chatbot, delivering intelligent responses using vector databases and knowledge bases. Step 11 – Machine Learning Fundamentals Understand machine learning principles and algorithms, and how to train and test models using scikit-learn. Step 12 – Machine ...

Project Work with Hugging Face to build a sentiment analysis classifier using real-world AI techniques. Step 8 – AI Prompt Engineering Master prompt engineering, learning how to craft effective prompts for controlling AI outputs. Step 9 – Retrieval-Augmented Generation (RAG) Learn how to integrate external knowledge into AI systems … Combine prompt engineering and RAG to build an AI-powered customer service chatbot, delivering intelligent responses using vector databases and knowledge bases. Step 11 – Machine Learning Fundamentals Understand machine learning principles and algorithms, and how to train and test models using scikit-learn. Step 12 – Machine ...

provide technical leadership across the full lifecycle of machine learning systems powering a new matching platform. This role is accountable for defining ML architecture, establishing engineering standards, driving MLOps maturity, and ensuring that our models are scalable, secure, explainable, and governed to enterprise‐grade standards. You will contribute … strategic direction of our ML platform—spanning data pipelines, model development, deployment automation, inference runtime design, telemetry, drift detection, and cross‐account productionisation. You will mentor engineers, influence product and architectural decisions, and ensure that our ML systems operate reliably at scale, underpinned by a robust governance and compliance framework. ...

provide technical leadership across the full lifecycle of machine learning systems powering a new matching platform. This role is accountable for defining ML architecture, establishing engineering standards, driving MLOps maturity, and ensuring that our models are scalable, secure, explainable, and governed to enterprise‐grade standards.You will contribute … strategic direction of our ML platform—spanning data pipelines, model development, deployment automation, inference runtime design, telemetry, drift detection, and cross‐account productionisation. You will mentor engineers, influence product and architectural decisions, and ensure that our ML systems operate reliably at scale, underpinned by a robust governance and compliance framework.This ...

Nottingham Trent House (95002), United Kingdom, Nottingham, Nottinghamshire Lead Data Scientist/Deep Learning Practitioner About this role Our Data Science team focuses on the development of Machine Learning and Deep Learning solutions, to solve business problems and deliver actionable insights. We are a talented, collaborative … derive insights from complex data, working in close collaboration with our business partners. This role will focus on leading the development of proprietary deep learning models in order to enhance our existing underwriting capabilities. By utilizing a mix of new and existing data, you will identify ways to improve ...

Application areas include Quantum Chemistry and materials design, Quantum Linear Equation Solvers, state and matrix loading, block encoding, measurement observables and state reconstruction including machine learning and data science. The team aims to radically transform RR Engineering methods and software, applying these to emerging novel products & services. … equivalent experience, with a high quantum computing content. Experience of parallel programming for high performance computing. Experience of simulation and modelling and/or machine learning for engineering. Knowledge of state loading, matrix encoding, amplitude amplification and measurement operators Azure DevOps, Cloud compute architecture, and HPC system management ...

DescriptionPurpose of the roleTo use innovative data analytics and machine learning techniques to extract valuable insights from the bank's data reserves, leveraging these insights to inform strategic decision-making, improve operational efficiency, and drive innovation across the organisation. AccountabilitiesIdentification, collection, extraction of data from various sources, including … ensure its quality and suitability for analysis.Development and maintenance of efficient data pipelines for automated data acquisition and processing.Design and conduct of statistical and machine learning models to analyse patterns, trends, and relationships in the data.Development and implementation of predictive models to forecast future outcomes and identify potential ...

join an innovative technology team. This is an opportunity to work on complex, data-driven products that combine software engineering, cloud technologies and machine learning. You'll be involved in designing and building applications, APIs and data pipelines that help transform large volumes of complex data into meaningful, actionable … Agile development practices. Desirable Skills Experience working with time-series, geospatial, sensor or other complex datasets. Exposure to machine learning or deploying ML models into production. Familiarity with frontend technologies such as React and TypeScript. Experience with infrastructure as code, such as Terraform or CloudFormation. AWS certifications would ...

team about what it's like working at Capital One UK. About the Role Our Data Science team focuses on the development of machine learning and AI solutions, to solve business problems and deliver actionable insights. We are a talented, collaborative and enthusiastic group, who use our expertise … solutions, working cross-functionally to support key business initiatives and drive sustainable growth. What we're looking for A strong understanding of probability, statistics, machine learning, feature extraction and familiarity with large data set manipulation. Familiarity with Open Banking or Credit Bureau data. Experience in producing reliable ...

source data,transactional insights & fraud indicators from partnershipsApply traditional model development techniques and approaches (e.g. logistic regression) as well as adopting new AI/ML techniques such as gradient boosting, random forests, clustering, etc.Utilise the latest cloud based technologies and analytical tooling to support test-and-learn champion/challenger … potential impact to our clients (i.e. addressing the "why" behind our decision making)What could set you apartExperience of developing AI/ML based fraud solutions and modelsDay to day use of G-Suite tooling, GCP and VertexAIExperience of working in a credit reference agency and/or client environment ...

volumes of operational and business data. * Experience leading RPA and process automation initiatives, including management of third-party delivery partners. * Exposure to AI, GenAI, machine learning or intelligent automation initiatives within a business environment. * Strong stakeholder management skills with the ability to translate technical concepts into business outcomes. ...

programme, where youll help turn operational, telematics, customer and third-party data into trusted, reusable data products that power dashboards, APIs, self-service analytics, machine learning and future generative AI services. Youll work with modern AWS managed services, lakehouse architecture, Data Mesh principles and governance-by-design patterns ...

readiness, runbook quality, and resilience patterns are consistently applied across services.People LeadershipLead and mentor a team of SRE engineers, fostering a culture of ownership, learning, and engineering excellence.Drive career development, performance management, and technical capability growth across the team.Collaborate with HR and Talent teams to build local hiring pipelines … managing cloud-native services on Azure and AWS, including: Azure SQL, Cosmos DB, Application Gateway, Key Vault, Storage, DNS, Load Balancer, Virtual Machines, Azure Machine Learning, SentinelAWS Lambda, ECS, RDS, CloudWatchStrong understanding of SRE principles (SLOs, SLIs, error budgets, incident response).Hands-on experience with container orchestration (Kubernetes ...

runbook quality, and resilience patterns are consistently applied across services. People LeadershipLead and mentor a team of SRE engineers, fostering a culture of ownership, learning, and engineering excellence. Drive career development, performance management, and technical capability growth across the team. Collaborate with HR and Talent teams to build local … managing cloud-native services on Azure and AWS, including: Azure SQL, Cosmos DB, Application Gateway, Key Vault, Storage, DNS, Load Balancer, Virtual Machines, Azure Machine Learning, SentinelAWS Lambda, ECS, RDS, CloudWatchStrong understanding of SRE principles (SLOs, SLIs, error budgets, incident response).Hands-on experience with container orchestration (Kubernetes ...

Python Solid understanding of SQL and data manipulation Background in Mathematics, Statistics, or Computer Science (MSc or PhD preferred) Experience building or deploying machine learning models Ability to work in a fast-paced, collaborative startup environment Desired Skills and Experience Pricing, Promotions, Forecasting, Research ...

support client relationships, and define delivery requirements that align with client needs and AECOM's digital offering Champion the understanding and adoption of AI, machine learning and data science techniques across project teams and client engagements, identifying where these can drive efficiency, insight or innovation Identify automation ...

/Dimensional Modelling/Data Warehousing Development Management: Azure DevOps SQL MI/DB ETL: Active Batch, API, Event Hub, Kafka AI/ML We’re grateful for your interest in joining our team. Kindly note that only applicants whose experience and qualifications most closely align with the role will ...

business value. Establish AI governance, best practices, and architectural standards. Evaluate emerging AI technologies and recommend future capabilities. Support the adoption of GenAI, machine learning, and AI platform services. Required Skills … Experience Strong AI architecture and enterprise strategy experience. Extensive experience with Microsoft Azure and Azure AI services. Proven background designing and delivering AI/ML solutions. Experience with open-source AI frameworks and technologies. Strong understanding of GenAI, LLMs, RAG, and AI governance. Experience operating at senior stakeholder and executive ...

engineering and data analysis tasks Experience working with large, complex datasets, particularly from sensor systems Familiarity with signal processing, time-series analysis, or machine learning Excellent communication skills with the ability to convey complex technical concepts clearly to diverse stakeholders Desirable skills Understanding of SCADA systems, strain gauges ...

ability to clearly articulate plans, priorities, and progress to a range of audiencesSome other highly valued skills may include:Understanding or exposure to coding, Machine Learning, or AI concepts, supporting effective collaboration with technical teamsAwareness of commercial considerations, with an understanding of how product decisions contribute to business ...